Morphological algorithms for face detection

被引：1

作者：

Chen, L ^{[1
]}

Huang, XW ^{[1
]}

Zhong, XR ^{[1
]}

Wang, JJ ^{[1
]}

机构：

[1] Soochou Univ, Sch Elect & Informat Engn, Suzhou 215021, Peoples R China

来源：

PROCEEDINGS OF 2005 IEEE INTERNATIONAL WORKSHOP ON VLSI DESIGN AND VIDEO TECHNOLOGY | 2005年

关键词：

face detection; Markov random field(MRF); top-hat filtering; bottom-hat filtering; watershed segmentation;

D O I：

10.1109/IWVDVT.2005.1504563

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an efficient method for video-based face detection using MRF (Markov random field) and morphology. First, MRF theory is used to extract the moving objects. Then, the top-hat filtering, bottom-hat filtering and watershed segmentation algorithms are employed to segment the image. Finally, the face region is characterized by elliptical shape as an ellipse can approximate the shape of a face. The experimental results show that this approach is very efficient and robust.

引用

页码：109 / 112

页数：4

共 50 条

[1] A comparison of face detection algorithms
Fasel, IR
Movellan, JR
ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, 2415 : 1325 - 1330
[2] A survey of face detection algorithms
Mane, Ankit Srivastava' Suraj
Shah, Aaditya
Shrivastava, Nirmit
Thakare, Bhushan
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON INVENTIVE SYSTEMS AND CONTROL (ICISC 2017), 2017, : 662 - 665
[3] Review and Comparison of Face Detection Algorithms
Dang, Kirti
Sharma, Shanu
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING (CONFLUENCE 2017), 2017, : 629 - 633
[4] Face and eye detection by CNN algorithms
Balya, D
Roska, T
JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 1999, 23 (2-3): : 497 - 511
[5] Face and Eye Detection by CNN Algorithms
David Balya
Tamás Roska
Journal of VLSI signal processing systems for signal, image and video technology, 1999, 23 : 497 - 511
[6] Comparative Testing of Face Detection Algorithms
Degtyarev, Nikolay
Seredin, Oleg
IMAGE AND SIGNAL PROCESSING, PROCEEDINGS, 2010, 6134 : 200 - 209
[7] The human face detection algorithms based on adaboost
Li, Yinyan
2007 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS, 2007, : 962 - 965
[8] On performance evaluation of face detection and localization algorithms
Popovici, V
Thiran, JP
Rodriguez, Y
Marcel, S
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, 2004, : 313 - 317
[9] A comparative study on face detection and tracking algorithms
Belaroussi, Rachid
Milgram, Maurice
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (08) : 7158 - 7164
[10] REVIEW OF EXISTING ALGORITHMS FOR FACE DETECTION AND RECOGNITION
Ismail, Nurulhuda
Sabri, Mas Idayu Md.
PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, MAN-MACHINE SYSTEMS AND CYBERNETICS (CIMMACS '09), 2009, : 30 - +

← 1 2 3 4 5 →